<liclass="toctree-l1"><aclass="reference internal" href="tutorial/getting_started.html">Getting started with <codeclass="docutils literal"><spanclass="pre">mpl-probscale</span></code></a></li>
<liclass="toctree-l1"><aclass="reference internal" href="tutorial/closer_look_at_viz.html">A closer look at probability plots</a></li>
<liclass="toctree-l1"><aclass="reference internal" href="tutorial/closer_look_at_plot_pos.html">Using different formulations of plotting positions</a></li>
</ul>
<ul>
<liclass="toctree-l1"><aclass="reference internal" href="api.html">API and Source Reference</a></li>
<p>This is the preferred method to install mpl-probscale, as it will always install the most recent stable release.</p>
<p>If you don’t have <aclass="reference external" href="https://pip.pypa.io">pip</a> installed, this <aclass="reference external" href="http://docs.python-guide.org/en/latest/starting/installation/">Python installation guide</a> can guide
you through the process.</p>
</div>
<divclass="section" id="from-sources">
<h2>From sources<aclass="headerlink" href="#from-sources" title="Permalink to this headline">¶</a></h2>
<p>The sources for mpl-probscale can be downloaded from the <aclass="reference external" href="https://github.com/matplotlib/mpl-probscale">Github repo</a>.</p>
<p>You can either clone the public repository:</p>
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